improved least-squares algorithm
Least Squares Support Vector Machines Parameter Optimization Based on Improved Ant Colony Algorithm for Hepatitis Diagnosis
... on Improved Ant Colony Algorithm (IACA) for LSSVM in determining the optimal parameters for diagnosing Hepatitis ...IACA Algorithm gives optimal parameter LSSVM in each ...
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Improved NLOS Error Mitigation Based on LTS Algorithm
... new improved Least Trimmed Squares (LTS) based algorithm for Non-line-of-sight (NLOS) error mitigation is proposed for indoor localisation ...LTS algorithm has hard threshold to decide ...
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A Partial Least Squares based algorithm for parsimonious variable selection
... elimination algorithm for variable selection using Partial Least Squares, where the focus is to obtain a hard, and at the same time stable, selection of ...at least as good as three ...
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Finite impulse response filter design using a forward orthogonal least squares algorithm
... Linear Finite Impulse Response (FIR) filter coefficients design has been extensively studied. Classical methods involve designing a FIR filter based on Fourier Series theory and Inverse-DFT transform. This is also the ...
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Segmentation algorithm for Hangzhou white chrysanthemums based on least squares support vector machine
... the improved OTSU threshold algorithm to automatically extract fruit objects from complex agricultural ...on improved clustering image segmentation and dotted line minimum distance constraint for ...
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Variable forgetting factor mechanisms for diffusion recursive least squares algorithm in sensor networks
... factors automatically according to the estimation errors rather than choose appropriate values for them through simulations. There have been several studies on vari- able forgetting factor (VFF) methods. Specifically, ...
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A Robust Collaborative Recommendation Algorithm Based on Least Median Squares Estimator
... From the comparison of PS in TABLE I, TABLE II and TABLE III, it can be seen that MMF exhibits a poor performance on robustness, LTSMF works better than MMF, and LMedSMF shows the best robustness. With the increase of ...
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The Improved Least Square Support Vector Machine Based on Wolf Pack Algorithm and Data Inconsistency Rate for Cost Prediction of Substation Projects
... the improved least squares support vector machine (ILSSVM) optimized by wolf pack algorithm(WPA) is proposed to improve the accuracy and stability of the cost forecasting of substation ...pack ...
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Improved least-squares method for phase-to-height relationship in fringe projection profilometry
... Figure 2 shows 3-D measurement equipment using cam- eras and a beam projector [15]. The equipment consists of black and white CCD cameras (AOS MPX1350, 1280× 1024 pixels, and 8-bit data depth), a digital light processing ...
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Recursive Least Squares Dictionary Learning Algorithm for Electrical Impedance Tomography
... reconstruction algorithm by alternating the process of image reconstruction and dictionary ...Recursive Least Squares Dictionary Learning Algorithm (RLS-DLA) is used to learn the initial ...
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Combined state and parameter estimation for Hammerstein systems with time-delay using the Kalman filtering
... an improved least squares identification algorithm for multivariable Hammerstein output error moving average systems by using the Taylor expansion on a quadratic criterion function and ...
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A multiple sequential orthogonal least squares algorithm for feature ranking and subset selection
... MSOLS algorithm on a different number of PCs, and the associated results are shown in Table IV, where the number zero in the 2 nd column means that only 7 features are required to represent the first ...
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International Journal of Emerging Technology and Advanced Engineering
... as least squares (LMS) algorithm and recursive least squares algorithm (RLS) is planned for multiple input multiple output (MIMO) orthogonal frequency division multiplexing ...
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An Algorithm for Non Linear Data Fit by the Least Squares Method EUR 4959
... 16/11/49 DATE 72353 FORTRAN IV G LEVEL MINIMI SUBROUTINE MINIMI FUN,FM,X,G,H,N,M,IRIT,EPSF,EPSX,EPSG,I MAX,NIT, MINI 0001 liNVERT mm C MINI c MINI .MINI c MINI PROGRAM CALCULATES MINIMUM[r] ...
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Adaptive reduction of interfering speaker noise using the least mean squares algorithm
... The desired signal (i.e., the main speaker) and the interfering signal (i.e., other speakers in the background) have similar statistical and spectral characteristics which is quite diffe[r] ...
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Floating point error analysis of recursive least squares and least means squares adaptive filters
... This sequence is a zero mean white independent random process which has a variance related to signal statistics, the weight vector covariance, and the floating point errorso The calculat[r] ...
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Performance Analysis of Adaptive Beamforming Algorithms for Orthogonal Frequency Division Multiplexing System
... A bit stream generated by the source is modulated using shifted Quadrature Phase Shift Keying (QPSK). Then these bits are converted from serial-to-parallel and virtual carriers are added before subcarrier modulation, ...
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The Dual of the Least Squares Method
... the least-squares estimates of a linear system’s parameters were thought to have been discovered, there surfaced an intriguing question: What is the dual specification of the least-squares ...
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Stabilized Least Squares Migration
... LSM algorithm, save for the change in one subprocess which one uses to test ...migration algorithm, or to test a new stabilization routine, a processor could replace the current FWI with a custom ...
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Least-Squares Policy Iteration
... LSPI was implemented 9 using a combination of Matlab and C and was tested on the following problems: chain walk, inverted pendulum balancing, and bicycle balancing and riding. The chain walk class of problems has no ...
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